The effect of real network phase disturbances on the calculation of IEC 61000-4-30 parameters

Rens, Johan; Kock, J.A. de; Wyk, Willie Van; Zÿl, Johan van

doi:10.1109/ichqp.2014.6842886

Cited by 9 publications

(4 citation statements)

References 7 publications

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“…This method, and its benefits over the traditional one, are explained in [13]. In other works-for example, in [4]-a third method was used, based on zero crossings; but as the authors noted, this method was not as reliable, since interharmonics or phase disturbances led to errors in calculations.…”

Section: Methodsmentioning

confidence: 99%

“…Microgrids gather DG systems, like inverters in photovoltaic panels, wind turbines, chargers of electrical vehicles, etc., which have direct consequences on the power line and in the subsequent quality [2,3]. However, despite the complications that cause this kind of load, the advantages of energy saving, control of energy flow and direction, etc., exceed the possible disadvantages [4].…”

Section: Introductionmentioning

confidence: 97%

See 1 more Smart Citation

Statistical Dataset and Data Acquisition System for Monitoring the Voltage and Frequency of the Electrical Network in an Environment Based on Python and Grafana

Fernández-Morales

González-de-la-Rosa

Sierra-Fernández

et al. 2022

Data

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This article presents a unique dataset, from a public building, of voltage data, acquired using a hybrid measurement solution that combines PythonTM for acquisition and GrafanaTM for results representation. This study aims to benefit communities, by demonstrating how to achieve more efficient energy management. The study outlines how to obtain a more realistic vision of the quality of the supply, that is oriented to the monitoring of the state of the network; this should allow for better understanding, which should in turn enable the optimization of the operation and maintenance of power systems. Our work focused on frequency and higher order statistical estimators which, combined with exploratory data analysis techniques, improved the characterization of the shape of the stress signal. These techniques and data, together with the acquisition and monitoring system, present a unique combination of low-cost measurement solutions, which have the underlying benefit of contributing to industrial benchmarking. Our study proposes an effective and versatile system, which can do acquisition, statistical analysis, database management and results representation in less than a second. The system offers a wide variety of graphs to present the results of the analysis, so that the user can observe them and identify, with relative ease, any anomalies in the supply which could damage the sensitive equipment of the correspondent installation. It is a system, therefore, that not only provides information about the power quality, but also significantly contributes to the safety and maintenance of the installation. This system can be practically realized, subject to the availability of internet access.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Statistical Dataset and Data Acquisition System for Monitoring the Voltage and Frequency of the Electrical Network in an Environment Based on Python and Grafana

Fernández-Morales

González-de-la-Rosa

Sierra-Fernández

et al. 2022

Data

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“…A 10/12cycle block is determined by counting the number of zero crossings in the reference voltage waveform. The instantaneous frequency [10] due to localized reactive power control can change continuously, resulting in different time lengths of sequential 10/12 cycle blocks. Re-synchronization is then needed at the boundaries [8] and the method to do this, is prescribed by the IEC 61000-4-30.…”

Section: Coherent Network Data Based On Iec 61000-4-30mentioning

confidence: 99%

On Harmonic Emission Assessment: A Discriminative Approach

et al. 2017

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An improvement in the assessment of harmonic emissions as contributed by renewable generation such as a Photovoltaic (PV) plant, at a Point of Connection (PoC) to a distribution network, is needed. Both the generating source and the distribution network contribute to the voltage harmonic distortion at the PoC and single-point measurements cannot be used to quantify the relative contributions of each source. IEC 61000-4-30 Class A PQ measurements are used as a reference dataset for engineers and can be obtained simultaneously at different points in a network in an attempt to better understand the relative contribution by the source of distortion and the voltage supply network. The opportunity to improve the CIGRE/CIRED C4.109 approach by means of multiple-point synchronized network data is shown to be significant in the qualification of the statistical method but lacks the quantification in calculating the harmonic emission of a non-linear load. The CIGRE/CIRED method can be improved by only considering those harmonic currents identified as emission as some harmonic currents could be the result of background harmonic voltages in the supply network. Constraints in using IEC 61000-4-30 time-aggregated rms voltage and current values to support the assessment of harmonic emission using field-measured data is lastly shown as the calculation method and measurement uncertainty influence the compliance to grid code requirements on harmonic emissions.

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“…by certain unexpected causes. For example, micro grids gather DG systems, like inverters in photovoltaic panels, wind turbines, chargers of electrical vehicles, etc., have direct consequences on the power line and in the subsequent quality, as well [2,3,4,5].…”

mentioning

confidence: 99%

Statistical Data Set and Data Acquisition System for Monitoring The Voltage and Frequency of The Electrical Network in An Environment Based On <em>Python</em> and <em>Grafana</em>

Fernández-Morales¹,

González-de-la-Rosa²,

Florencias-Oliveros³

et al. 2022

Preprint

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This article presents a unique set of voltage and current data from a public building and acquired using a hybrid measurement solution that combines Python and Grafana. The transversal purpose consists of contributing to the community with a vision of the quality of the supply more oriented to the monitoring of the state of the network, providing a more realistic vision, which allows a better understanding, and the adoption of the best decisions to achieve the efficient energy management and thus optimize the operation and maintenance of power systems. The work focuses on higher order statistical estimators that, combined with exploratory data analysis techniques, improve the characterization of the shape of the stress signal. These techniques and data, together with the acquisition and monitoring system, present a unique combination in the line of low-cost measurement solutions. It also incorporates the underlying benefit of the contribution to industrial benchmarking. The paper also includes a computational comparison between Python and LabVIEW to elicit the performance of the measurement solution.

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The effect of real network phase disturbances on the calculation of IEC 61000-4-30 parameters

Cited by 9 publications

References 7 publications

Statistical Dataset and Data Acquisition System for Monitoring the Voltage and Frequency of the Electrical Network in an Environment Based on Python and Grafana

Statistical Dataset and Data Acquisition System for Monitoring the Voltage and Frequency of the Electrical Network in an Environment Based on Python and Grafana

On Harmonic Emission Assessment: A Discriminative Approach

Statistical Data Set and Data Acquisition System for Monitoring The Voltage and Frequency of The Electrical Network in An Environment Based On <em>Python</em> and <em>Grafana</em>

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